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Kalman Filtering: Theory and Practice with MATLAB (Wiley - IEEE) [Hardback]

Description: The definitive textbook and professional reference on Kalman Filtering - fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.

Price: 137 USD

Location: Matraville, NSW

End Time: 2024-12-05T00:35:09.000Z

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Kalman Filtering: Theory and Practice with MATLAB (Wiley - IEEE) [Hardback]Kalman Filtering: Theory and Practice with MATLAB (Wiley - IEEE) [Hardback]

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money Back

EAN: 9781118851210

UPC: 9781118851210

ISBN: 9781118851210

MPN: N/A

Number of Pages: 640 Pages

Publication Name: Kalman Filtering : Theory and Practice with Matlab

Language: English

Publisher: Wiley & Sons, Incorporated, John

Subject: Probability & Statistics / Stochastic Processes, Mathematical & Statistical Software, Remote Sensing & Geographic Information Systems

Item Height: 1.6 in

Publication Year: 2014

Item Weight: 34.8 Oz

Type: Textbook

Item Length: 9.6 in

Subject Area: Mathematics, Computers, Technology & Engineering

Author: Angus P. Andrews, Mohinder S. Grewal

Series: IEEE Press Ser.

Item Width: 6.4 in

Format: Hardcover

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